Udemy - Time Series Analysis and Forecasting Model in Power BI

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Udemy - Time Series Analysis and Forecasting Model in Power BI (Size: 481.33 MB)
  .pad
  0 213 B
  1 123.11 KB
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  11 228.91 KB
  TutsNode.com.txt 63 B
  [TGx]Downloaded from torrentgalaxy.to .txt 585 B
  [TutsNode.com] - Time Series Analysis and Forecasting Model in Power BI
  1. Introduction to Time Series Exponential Smoothing
  1. Introduction to Time Series Data.mp4 12.98 MB
  1. Introduction to Time Series Data.srt 1.45 KB
  1.1 Time Series Forecasting in Power BI - Resagratia.pdf 91.27 KB
  2. What is Time Series Exponential Smoothing.mp4 14.88 MB
  2. What is Time Series Exponential Smoothing.srt 2 KB
  3. Forecasting Models in Power BI.mp4 12.15 MB
  3. Forecasting Models in Power BI.srt 1.87 KB
  4. What is Seasonality.mp4 11.53 MB
  4. What is Seasonality.srt 1.95 KB
  5. Cyclical Datasets.mp4 5.33 MB
  5. Cyclical Datasets.srt 536 B
  6. Check Your Knowledge.html 165 B
  2. Time Series Forecasting and Advanced Error Handling
  1. Generate Univariate Data for Analysis.mp4 73.02 MB
  1. Generate Univariate Data for Analysis.srt 7.08 KB
  1.1 GOOG.csv 108.36 KB
  10. Can you predict the stock price of NIKE.html 169 B
  2. Apply Forecast Line - Monthly.mp4 66.93 MB
  2. Apply Forecast Line - Monthly.srt 9.88 KB
  3. Assess Model Accuracy.mp4 52.47 MB
  3. Assess Model Accuracy.srt 8.21 KB
  4. Advanced Error Handling - Create Date Table in Power Query.mp4 60.67 MB
  4. Advanced Error Handling - Create Date Table in Power Query.srt 11.92 KB
  5. Advanced Error Handling - MergeJoin Tables in Power Query.mp4 26.69 MB
  5. Advanced Error Handling - MergeJoin Tables in Power Query.srt 4.46 KB
  6. Advanced Error Handling - Fill Blanks With Values.mp4 37.82 MB
  6. Advanced Error Handling - Fill Blanks With Values.srt 5.46 KB
  7. Apply Forecast Line - Daily.mp4 37.63 MB
  7. Apply Forecast Line - Daily.srt 3.79 KB
  8. Questions - Time Series Exponential Smoothing.mp4 67.85 MB
  8. Questions - Time Series Exponential Smoothing.srt 7.76 KB
  9. Further Reading - Describing the Forecasting Models in Power BI.html 5.42 KB

Description



Description

In this course, students will learn about the forecasting models available in Power BI. By understanding how time series exponential smoothing works, students will be able to manipulate the forecast line efficiently for daily, monthly and yearly predictions of univariate data.

As part of the course, students will gain hands-on experience in advanced error handling techniques in Power Query and be able to tune parameters efficiently for cyclical and seasonal datasets.
Who this course is for:

Business analysts interested in time series analysis
Finance professionals curious about Power BI and trend analysis
Python developers curious about Power BI and trend analysis
Power BI and Excel users interested in trend analysis
Business professionals curious about Power BI, forecasting and time series analysis

Requirements

A prior, basic understanding and usage of Power BI is recommended
Prior experience using Power Query or writing M scripts is useful but not required
An interest in stock trading is appreciated but not required
Have Power BI desktop and Microsoft Excel installed

Last Updated 12/2020

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